Evidence map›Paper›PMID 35832065›Full record

ArticleFrontiers in aging neuroscience2022

The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach.

Nicolas Ruffini, Susanne Klingenberg, Raoul Heese, Susann Schweiger, Susanne Gerber

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Nicolas RuffiniInstitute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Susanne KlingenbergInstitute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Raoul HeeseFraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany.
Susann SchweigerInstitute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Susanne GerberInstitute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
University Medical Center of the Johannes Gutenberg University Mainz · DEFraunhofer Institute for Industrial Mathematics · DEJohannes Gutenberg University Mainz · DELeibniz Institute for Resilience Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration.

Indexed as

bioinformaticshub genes and pathwaysmetastudymulti-omic analysesneurodegenerative diseases

Identifiers

PMID35832065
PMCPMC9271745
OpenAlexW4283576525

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.